Details - Tematika

Enterprise Resource Planning Systems I (GAINBAN-VAINFRE1-1)

Basic data

Name and type of the study programme

Computer Science Engineering, undergraduate program

Curriculum

2022

Classes / consultation hours

2 + 0 + 2 (L+S+Labs)

Credits

4 credits

Theory – Practice

Theory: 50%, Practice: 50%

Recommended semester

Semester 4

Study mode

full-time

Prerequisites

Databases

Evaluation type

Mid-term evaluation

Course category

Compulsory

Language

English

Instructors

Responsible instructor

Prof. Dr. Fábián Csaba István

Responsible department

Department of Information Technologies

Instructor(s)

Prof. Dr. Fábián Csaba István, Sári Bence

Checked by

Kovács Márk

Course objectives

Students get acquainted with the purpose, functions and structure of ERP systems. They acquire basic skills in resource planning.

Course content

Lectures

1. The role of information in the operation of an enterprise. The purpose of ERP systems. Typical modules. 2. Overview of main ERP systems. ERP History. 3. Implementation decisions. Costs, benefits and risks. Company views. 4. Detailed discussion of the Marketing module. 5. Detailed discussion of the Production module. 6. Detailed discussion of the Accounting module. 7. Detailed discussion of the Human resources module. 8. Supply chains and means of supporting SC operations. 9. Business Functions and Processes. Tools for process and data modeling. 10. Online Transaction Processing (OLTP) vs. Online Analytical Processing (OLAP). 11. Workflow systems 12-13. Tests

Labs

Labs follow the material of lectures.

Acquired competences

Knowledge

- Knowledge of the principles and methods of natural sciences (mathematics, physics, other natural sciences) relevant to the field of IT.

Skills

- He/she uses the principles and methods of natural sciences (mathematics, physics, other natural sciences) relevant to the field of information technology in his/her engineering work for the design of information systems. - He/she is able to develop enterprise information systems and implement previous developments. He/she can apply his/her knowledge acquired during his/her study to acquire deeper knowledge in the field of information engineering and to process special literature and solve problems related to information technology. - He/she cooperates with other computer science engineers, electrical engineers during team work, and with other experts during the analysis and solution of a problems.

Attitude

- He/she is open to get to know other fields which employ information technology tools, and open to work out information technology soultions in cooperation with the experts of other areas.

Autonomy and responsibilities

- He/she reveals the weaknesses of the technologies applied, risks of processes and initiates measures which reduce them.

Additional professional competences

- Efficient use of digital technology, knowledge of digital solutions to fulfill educational objectives

Requirements, evaluation and grading

Mid-term study requirements

Active participation at lecture and laboratory classes. Students are expected to complete assignments and prepare presentations. 60 points can be obtained by completing assignments, and 30 points by a presentation. Students write an exam on the material of the lectures (10 points). Term mark is computed from the total points obtained. AI tools can be used in gathering materials for presentations. AI tools must not be used in problem solving at labs.

Generative AI usage

Use of GAI tools is permitted in a limited manner (e.g., for literature search support or specific tools). In this case, the course instructor is responsible for defining where and how GAI tools may be used in assignments. The course description must specify in detail how GAI tools may be used during the course.

Study aids, laboratory background

Lecture slides, assignment descriptions, proposed topics for presentations will be available in Teams. At the lab sessions, all students can use separate, modern computer with internet access and the necessary software.

Readings

Compulsory readings

K.C. Laudon, J.P. Laudon, C.G. Traver: Management Information Systems: Managing the Digital Firm. Pearson, 2025. ISBN-13: 9780138344108. E.F. Monk, B.J. Wagner: Concepts in Enterprise Resource Planning. Cengage Learning, 2013. ISBN-13: 978-1-111-82039-8.